Assignment 2

Introduction/Review of Tidyverse

Tidyverse: a collection of open source packages for the R programming language introduced by Hadley Wickham and his team that “share an underlying design philosophy, grammar, and data structures” of tidy data. (Wikipedia)
Widely used approach to data science in R

image R for Data Science book cover

A “Meta-package” of packages

collection of tidyverse package hex stickers

Resources to learn Tidyverse

Links embedded in the assignment
R for Data Science: https://r4ds.hadley.nz/intro
Data Carpentry: https://datacarpentry.org/R-ecology-lesson

Science Question

How does water quality (temperature and chlorophyll-a) vary across time and among drinking water reservoirs in the Roanoke region?

Data

CTD sensor for measuring water quality

Photo credit: Cayelan Carey

Data

CSV data is available through the Environmental Data Initiative repository

screenshot of webpage for data respository

Data

The data are from the National Science Foundation funded Virginia Reservoirs Long-Term Research in Environmental Biology site.

screenshot of Virginia Reservoirs Long-Term Research in Environmental Biology website

Reservoirs

Assignment

The assignment is designed to help you review R tidyverse skills that were introduced before the course.

Accept (e.g., fork) assignment
Clone your accepted assignment repo to your computer
Work on assignment (many commits expected)
Push assignment to GitHub (many times - this a backup)
Final render of the document to HTML
Commit and push HTML to GitHub
Upload HTML to Canvas